ArticlePloS one2015
Genome Wide Association Analysis Reveals New Production Trait Genes in a Male Duroc Population.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- A meta-analysis of genome-wide association studies to identify candidate genes associated with feed efficiency traits in pigs.Journal of animal science · 2025Pooled it
- Integrated analysis of genome-wide association studies and 3D epigenomic characteristics reveal the BMP2 gene regulating loin muscle depth in Yorkshire pigs.PLoS genetics · 2023Pooled it
- Meta-analysis of genome-wide association studies for loin muscle area and loin muscle depth in two Duroc pig populations.PloS one · 2019Pooled it
- Role ofZoological research · 2026Article
- Novel polymorphism atAnimal biotechnology · 2025Article
- Genome-wide association study identifies candidate genes affecting body conformation traits of Zhongwei goat.BMC genomics · 2025Article
- Whole genome resequencing reveals genetic relationships and differences between three types of Hainan local pig breeds.Frontiers in veterinary science · 2025Article
- Genome-wide selection reveals candidate genes associated with multiple teats in Hu sheep.Animal biotechnology · 2024Article
- Article
- Genome-wide association study provided insights into the polled phenotype and polled intersex syndrome (PIS) in goats.BMC genomics · 2024Article
- Article
- A genome-wide association study for loin depth and muscle pH in pigs from intensely selected purebred lines.Genetics, selection, evolution : GSE · 2023Article
- Genome-wide association study for loin muscle area of commercial crossbred pigs.Animal bioscience · 2023Article
- Genome-wide diversity and admixture of five indigenous cattle populations from the Tigray region of northern Ethiopia.Frontiers in genetics · 2023Article
- Article
- Genetic Diversity and Selective Signature in Dabieshan Cattle Revealed by Whole-Genome Resequencing.Biology · 2022Article
- Genetic Parameter Estimation and Genome-Wide Association Analysis of Social Genetic Effects on Average Daily Gain in Purebreds and Crossbreds.Animals : an open access journal from MDPI · 2022Article
- Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs.Genes · 2022Article
- Review
- An insight into the runs of homozygosity distribution and breed differentiation in Mangalitsa pigs.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, 796 male Duroc pigs were used to identify genomic regions controlling growth traits. Three production traits were studied: food conversion ratio, days to 100 KG, and average daily gain, using a panel of 39,436 single nucleotide polymorphisms. In total, we detected 11 genome-wide and 162 chromosome-wide single nucleotide polymorphism trait associations. The Gene ontology analysis identified 14 candidate genes close to significant single nucleotide polymorphisms, with growth-related functions: six for days to 100 KG (WT1, FBXO3, DOCK7, PPP3CA, AGPAT9, and NKX6-1), seven for food conversion ratio (MAP2, TBX15, IVL, ARL15, CPS1, VWC2L, and VAV3), and one for average daily gain (COL27A1). Gene ontology analysis indicated that most of the candidate genes are involved in muscle, fat, bone or nervous system development, nutrient absorption, and metabolism, which are all either directly or indirectly related to growth traits in pigs. Additionally, we found four haplotype blocks composed of suggestive single nucleotide polymorphisms located in the growth trait-related quantitative trait loci and further narrowed down the ranges, the largest of which decreased by ~60 Mb. Hence, our results could be used to improve pig production traits by increasing the frequency of favorable alleles via artificial selection.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.